Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 380 |
| Missing cells | 3 |
| Missing cells (%) | 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 32.8 KiB |
| Average record size in memory | 88.3 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 3 |
City has a high cardinality: 366 distinct values | High cardinality |
Male Population is highly correlated with Female Population and 3 other fields | High correlation |
Female Population is highly correlated with Male Population and 3 other fields | High correlation |
Total Population is highly correlated with Male Population and 3 other fields | High correlation |
Number of Veterans is highly correlated with Male Population and 2 other fields | High correlation |
Foreign-born is highly correlated with Male Population and 2 other fields | High correlation |
Male Population is highly correlated with Female Population and 3 other fields | High correlation |
Female Population is highly correlated with Male Population and 3 other fields | High correlation |
Total Population is highly correlated with Male Population and 3 other fields | High correlation |
Number of Veterans is highly correlated with Male Population and 3 other fields | High correlation |
Foreign-born is highly correlated with Male Population and 3 other fields | High correlation |
Male Population is highly correlated with Female Population and 2 other fields | High correlation |
Female Population is highly correlated with Male Population and 2 other fields | High correlation |
Total Population is highly correlated with Male Population and 2 other fields | High correlation |
Number of Veterans is highly correlated with Male Population and 2 other fields | High correlation |
State Code is highly correlated with State | High correlation |
State is highly correlated with State Code | High correlation |
State is highly correlated with State Code | High correlation |
Male Population is highly correlated with Female Population and 3 other fields | High correlation |
Female Population is highly correlated with Male Population and 3 other fields | High correlation |
Total Population is highly correlated with Male Population and 3 other fields | High correlation |
Number of Veterans is highly correlated with Male Population and 3 other fields | High correlation |
Foreign-born is highly correlated with Male Population and 3 other fields | High correlation |
State Code is highly correlated with State | High correlation |
City is uniformly distributed | Uniform |
Unnamed: 0 has unique values | Unique |
Total Population has unique values | Unique |
Reproduction
| Analysis started | 2022-11-06 14:36:39.756121 |
|---|---|
| Analysis finished | 2022-11-06 14:37:14.262884 |
| Duration | 34.51 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 380 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 495.3552632 |
| Minimum | 1 |
|---|---|
| Maximum | 1963 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 31.9 |
| Q1 | 162.75 |
| median | 381.5 |
| Q3 | 742.5 |
| 95-th percentile | 1400.7 |
| Maximum | 1963 |
| Range | 1962 |
| Interquartile range (IQR) | 579.75 |
Descriptive statistics
| Standard deviation | 416.141451 |
|---|---|
| Coefficient of variation (CV) | 0.8400868668 |
| Kurtosis | 0.8414430476 |
| Mean | 495.3552632 |
| Median Absolute Deviation (MAD) | 257.5 |
| Skewness | 1.120269433 |
| Sum | 188235 |
| Variance | 173173.7072 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.3% |
| 609 | 1 | 0.3% |
| 639 | 1 | 0.3% |
| 638 | 1 | 0.3% |
| 634 | 1 | 0.3% |
| 631 | 1 | 0.3% |
| 625 | 1 | 0.3% |
| 624 | 1 | 0.3% |
| 616 | 1 | 0.3% |
| 615 | 1 | 0.3% |
| Other values (370) | 370 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 12 | 1 |
| Value | Count | Frequency (%) |
| 1963 | 1 | |
| 1931 | 1 | |
| 1774 | 1 | |
| 1762 | 1 | |
| 1657 | 1 | |
| 1651 | 1 | |
| 1645 | 1 | |
| 1609 | 1 | |
| 1604 | 1 | |
| 1581 | 1 |
| Distinct | 366 |
|---|---|
| Distinct (%) | 96.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| Bloomington | 3 |
|---|---|
| Peoria | 2 |
| Glendale | 2 |
| Pasadena | 2 |
| Union City | 2 |
| Other values (361) |
Length
| Max length | 20 |
|---|---|
| Median length | 16 |
| Mean length | 9.023684211 |
| Min length | 2 |
Characters and Unicode
| Total characters | 3429 |
|---|---|
| Distinct characters | 53 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 353 ? |
|---|---|
| Unique (%) | 92.9% |
Sample
| 1st row | Peoria |
|---|---|
| 2nd row | Hampton |
| 3rd row | Lakewood |
| 4th row | Mesa |
| 5th row | Bryan |
Common Values
| Value | Count | Frequency (%) |
| Bloomington | 3 | 0.8% |
| Peoria | 2 | 0.5% |
| Glendale | 2 | 0.5% |
| Pasadena | 2 | 0.5% |
| Union City | 2 | 0.5% |
| Concord | 2 | 0.5% |
| Aurora | 2 | 0.5% |
| Jacksonville | 2 | 0.5% |
| Richmond | 2 | 0.5% |
| Rochester | 2 | 0.5% |
| Other values (356) | 359 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| san | 13 | 2.6% |
| beach | 10 | 2.0% |
| city | 8 | 1.6% |
| santa | 7 | 1.4% |
| valley | 6 | 1.2% |
| new | 4 | 0.8% |
| fort | 4 | 0.8% |
| saint | 4 | 0.8% |
| hills | 4 | 0.8% |
| el | 3 | 0.6% |
| Other values (401) | 441 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 345 | 10.1% |
| e | 299 | 8.7% |
| n | 276 | 8.0% |
| o | 260 | 7.6% |
| l | 219 | 6.4% |
| i | 214 | 6.2% |
| r | 200 | 5.8% |
| t | 160 | 4.7% |
| s | 132 | 3.8% |
| 124 | 3.6% | |
| Other values (43) | 1200 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2792 | |
| Uppercase Letter | 508 | 14.8% |
| Space Separator | 124 | 3.6% |
| Dash Punctuation | 3 | 0.1% |
| Other Punctuation | 2 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 345 | |
| e | 299 | |
| n | 276 | |
| o | 260 | |
| l | 219 | 7.8% |
| i | 214 | 7.7% |
| r | 200 | 7.2% |
| t | 160 | 5.7% |
| s | 132 | 4.7% |
| d | 93 | 3.3% |
| Other values (16) | 594 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 56 | 11.0% |
| S | 52 | 10.2% |
| B | 43 | 8.5% |
| P | 39 | 7.7% |
| A | 32 | 6.3% |
| R | 30 | 5.9% |
| M | 28 | 5.5% |
| L | 28 | 5.5% |
| F | 24 | 4.7% |
| G | 21 | 4.1% |
| Other values (14) | 155 |
Space Separator
| Value | Count | Frequency (%) |
| 124 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 3 |
Other Punctuation
| Value | Count | Frequency (%) |
| ' | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3300 | |
| Common | 129 | 3.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 345 | 10.5% |
| e | 299 | 9.1% |
| n | 276 | 8.4% |
| o | 260 | 7.9% |
| l | 219 | 6.6% |
| i | 214 | 6.5% |
| r | 200 | 6.1% |
| t | 160 | 4.8% |
| s | 132 | 4.0% |
| d | 93 | 2.8% |
| Other values (40) | 1102 |
Common
| Value | Count | Frequency (%) |
| 124 | ||
| - | 3 | 2.3% |
| ' | 2 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3429 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 345 | 10.1% |
| e | 299 | 8.7% |
| n | 276 | 8.0% |
| o | 260 | 7.6% |
| l | 219 | 6.4% |
| i | 214 | 6.2% |
| r | 200 | 5.8% |
| t | 160 | 4.7% |
| s | 132 | 3.8% |
| 124 | 3.6% | |
| Other values (43) | 1200 |
| Distinct | 17 |
|---|---|
| Distinct (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| California | |
|---|---|
| Texas | |
| Florida | |
| Illinois | |
| Michigan | |
| Other values (12) |
Length
| Max length | 14 |
|---|---|
| Median length | 13 |
| Mean length | 8.463157895 |
| Min length | 4 |
Characters and Unicode
| Total characters | 3216 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Illinois |
|---|---|
| 2nd row | Virginia |
| 3rd row | Colorado |
| 4th row | Arizona |
| 5th row | Texas |
Common Values
| Value | Count | Frequency (%) |
| California | 114 | |
| Texas | 48 | |
| Florida | 41 | 10.8% |
| Illinois | 19 | 5.0% |
| Michigan | 15 | 3.9% |
| Colorado | 15 | 3.9% |
| Arizona | 14 | 3.7% |
| Washington | 14 | 3.7% |
| Virginia | 13 | 3.4% |
| Massachusetts | 13 | 3.4% |
| Other values (7) | 74 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| california | 114 | |
| texas | 48 | |
| florida | 41 | 9.9% |
| new | 22 | 5.3% |
| illinois | 19 | 4.6% |
| michigan | 15 | 3.6% |
| colorado | 15 | 3.6% |
| arizona | 14 | 3.4% |
| washington | 14 | 3.4% |
| massachusetts | 13 | 3.1% |
| Other values (9) | 99 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 488 | |
| i | 446 | |
| o | 302 | |
| n | 265 | 8.2% |
| r | 253 | 7.9% |
| l | 230 | 7.2% |
| s | 154 | 4.8% |
| C | 141 | 4.4% |
| e | 115 | 3.6% |
| f | 114 | 3.5% |
| Other values (23) | 708 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2768 | |
| Uppercase Letter | 414 | 12.9% |
| Space Separator | 34 | 1.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 488 | |
| i | 446 | |
| o | 302 | |
| n | 265 | |
| r | 253 | |
| l | 230 | |
| s | 154 | 5.6% |
| e | 115 | 4.2% |
| f | 114 | 4.1% |
| d | 76 | 2.7% |
| Other values (10) | 325 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 141 | |
| M | 48 | 11.6% |
| T | 48 | 11.6% |
| F | 41 | 9.9% |
| N | 34 | 8.2% |
| I | 29 | 7.0% |
| W | 14 | 3.4% |
| A | 14 | 3.4% |
| V | 13 | 3.1% |
| Y | 11 | 2.7% |
| Other values (2) | 21 | 5.1% |
Space Separator
| Value | Count | Frequency (%) |
| 34 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3182 | |
| Common | 34 | 1.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 488 | |
| i | 446 | |
| o | 302 | |
| n | 265 | 8.3% |
| r | 253 | 8.0% |
| l | 230 | 7.2% |
| s | 154 | 4.8% |
| C | 141 | 4.4% |
| e | 115 | 3.6% |
| f | 114 | 3.6% |
| Other values (22) | 674 |
Common
| Value | Count | Frequency (%) |
| 34 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3216 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 488 | |
| i | 446 | |
| o | 302 | |
| n | 265 | 8.2% |
| r | 253 | 7.9% |
| l | 230 | 7.2% |
| s | 154 | 4.8% |
| C | 141 | 4.4% |
| e | 115 | 3.6% |
| f | 114 | 3.5% |
| Other values (23) | 708 |
Median Age
Real number (ℝ≥0)
| Distinct | 157 |
|---|---|
| Distinct (%) | 41.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35.81736842 |
| Minimum | 22.9 |
|---|---|
| Maximum | 70.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 22.9 |
|---|---|
| 5-th percentile | 28.7 |
| Q1 | 32.8 |
| median | 35.4 |
| Q3 | 38.5 |
| 95-th percentile | 43.755 |
| Maximum | 70.5 |
| Range | 47.6 |
| Interquartile range (IQR) | 5.7 |
Descriptive statistics
| Standard deviation | 4.911454859 |
|---|---|
| Coefficient of variation (CV) | 0.1371249502 |
| Kurtosis | 6.015550911 |
| Mean | 35.81736842 |
| Median Absolute Deviation (MAD) | 2.7 |
| Skewness | 1.053303375 |
| Sum | 13610.6 |
| Variance | 24.12238883 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 35.5 | 8 | 2.1% |
| 38.1 | 7 | 1.8% |
| 32.8 | 7 | 1.8% |
| 35.7 | 7 | 1.8% |
| 33.1 | 7 | 1.8% |
| 33.4 | 6 | 1.6% |
| 34.2 | 6 | 1.6% |
| 34.5 | 5 | 1.3% |
| 33.8 | 5 | 1.3% |
| 35.3 | 5 | 1.3% |
| Other values (147) | 317 |
| Value | Count | Frequency (%) |
| 22.9 | 1 | |
| 23.5 | 1 | |
| 23.9 | 1 | |
| 24.2 | 1 | |
| 26 | 1 | |
| 26.2 | 2 | |
| 26.3 | 1 | |
| 26.4 | 1 | |
| 26.9 | 2 | |
| 27.4 | 1 |
| Value | Count | Frequency (%) |
| 70.5 | 1 | |
| 48.8 | 1 | |
| 47.9 | 1 | |
| 47.4 | 1 | |
| 47.3 | 1 | |
| 47 | 1 | |
| 46.9 | 1 | |
| 46.8 | 1 | |
| 45.9 | 1 | |
| 45.8 | 2 |
Male Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 379 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 1 |
| Missing (%) | 0.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 98011.33245 |
| Minimum | 29995 |
|---|---|
| Maximum | 4081698 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 29995 |
|---|---|
| 5-th percentile | 32282.9 |
| Q1 | 38663 |
| median | 50405 |
| Q3 | 79442 |
| 95-th percentile | 267806.4 |
| Maximum | 4081698 |
| Range | 4051703 |
| Interquartile range (IQR) | 40779 |
Descriptive statistics
| Standard deviation | 241682.256 |
|---|---|
| Coefficient of variation (CV) | 2.465860324 |
| Kurtosis | 198.6629887 |
| Mean | 98011.33245 |
| Median Absolute Deviation (MAD) | 14434 |
| Skewness | 12.71059724 |
| Sum | 37146295 |
| Variance | 5.841031286 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 56229 | 1 | 0.3% |
| 49186 | 1 | 0.3% |
| 50680 | 1 | 0.3% |
| 32211 | 1 | 0.3% |
| 39221 | 1 | 0.3% |
| 90192 | 1 | 0.3% |
| 57961 | 1 | 0.3% |
| 40015 | 1 | 0.3% |
| 42100 | 1 | 0.3% |
| 43314 | 1 | 0.3% |
| Other values (369) | 369 |
| Value | Count | Frequency (%) |
| 29995 | 1 | |
| 30193 | 1 | |
| 30758 | 1 | |
| 30844 | 1 | |
| 30890 | 1 | |
| 31205 | 1 | |
| 31248 | 1 | |
| 31369 | 1 | |
| 31382 | 1 | |
| 31395 | 1 |
| Value | Count | Frequency (%) |
| 4081698 | 1 | |
| 1320015 | 1 | |
| 1149686 | 1 | |
| 786833 | 1 | |
| 721405 | 1 | |
| 693826 | 1 | |
| 639019 | 1 | |
| 518317 | 1 | |
| 475718 | 1 | |
| 439752 | 1 |
Female Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 378 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 1 |
| Missing (%) | 0.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 102475.8945 |
| Minimum | 27348 |
|---|---|
| Maximum | 4468707 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 27348 |
|---|---|
| 5-th percentile | 33947.4 |
| Q1 | 40886 |
| median | 51265 |
| Q3 | 83314 |
| 95-th percentile | 272885.1 |
| Maximum | 4468707 |
| Range | 4441359 |
| Interquartile range (IQR) | 42428 |
Descriptive statistics
| Standard deviation | 260279.9006 |
|---|---|
| Coefficient of variation (CV) | 2.53991343 |
| Kurtosis | 212.6129316 |
| Mean | 102475.8945 |
| Median Absolute Deviation (MAD) | 14172 |
| Skewness | 13.25191261 |
| Sum | 38838364 |
| Variance | 6.774562664 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 35801 | 2 | 0.5% |
| 62432 | 1 | 0.3% |
| 56128 | 1 | 0.3% |
| 35234 | 1 | 0.3% |
| 36911 | 1 | 0.3% |
| 92175 | 1 | 0.3% |
| 58784 | 1 | 0.3% |
| 27348 | 1 | 0.3% |
| 46407 | 1 | 0.3% |
| 45456 | 1 | 0.3% |
| Other values (368) | 368 |
| Value | Count | Frequency (%) |
| 27348 | 1 | |
| 31456 | 1 | |
| 32173 | 1 | |
| 32397 | 1 | |
| 32763 | 1 | |
| 32799 | 1 | |
| 32807 | 1 | |
| 32901 | 1 | |
| 33094 | 1 | |
| 33310 | 1 |
| Value | Count | Frequency (%) |
| 4468707 | 1 | |
| 1400541 | 1 | |
| 1148942 | 1 | |
| 776168 | 1 | |
| 748419 | 1 | |
| 701081 | 1 | |
| 661063 | 1 | |
| 508602 | 1 | |
| 456122 | 1 | |
| 448828 | 1 |
Total Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 380 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 200150.6553 |
| Minimum | 63651 |
|---|---|
| Maximum | 8550405 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 63651 |
|---|---|
| 5-th percentile | 67358.4 |
| Q1 | 79001.25 |
| median | 103332 |
| Q3 | 161607.5 |
| 95-th percentile | 536182.75 |
| Maximum | 8550405 |
| Range | 8486754 |
| Interquartile range (IQR) | 82606.25 |
Descriptive statistics
| Standard deviation | 501249.5923 |
|---|---|
| Coefficient of variation (CV) | 2.504361485 |
| Kurtosis | 206.4515152 |
| Mean | 200150.6553 |
| Median Absolute Deviation (MAD) | 28802 |
| Skewness | 13.00940053 |
| Sum | 76057249 |
| Variance | 2.512511537 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 118661 | 1 | 0.3% |
| 102467 | 1 | 0.3% |
| 100884 | 1 | 0.3% |
| 67445 | 1 | 0.3% |
| 76132 | 1 | 0.3% |
| 182367 | 1 | 0.3% |
| 116745 | 1 | 0.3% |
| 67363 | 1 | 0.3% |
| 88507 | 1 | 0.3% |
| 88770 | 1 | 0.3% |
| Other values (370) | 370 |
| Value | Count | Frequency (%) |
| 63651 | 1 | |
| 63792 | 1 | |
| 64609 | 1 | |
| 64819 | 1 | |
| 64837 | 1 | |
| 64962 | 1 | |
| 65065 | 1 | |
| 65265 | 1 | |
| 65299 | 1 | |
| 65532 | 1 |
| Value | Count | Frequency (%) |
| 8550405 | 1 | |
| 2720556 | 1 | |
| 2298628 | 1 | |
| 1563001 | 1 | |
| 1469824 | 1 | |
| 1394907 | 1 | |
| 1300082 | 1 | |
| 1026919 | 1 | |
| 931840 | 1 | |
| 868031 | 1 |
Number of Veterans
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 375 |
|---|---|
| Distinct (%) | 98.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9073.757895 |
| Minimum | 416 |
|---|---|
| Maximum | 156961 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 416 |
|---|---|
| 5-th percentile | 1669.75 |
| Q1 | 3529.25 |
| median | 4980.5 |
| Q3 | 8392.5 |
| 95-th percentile | 29448.3 |
| Maximum | 156961 |
| Range | 156545 |
| Interquartile range (IQR) | 4863.25 |
Descriptive statistics
| Standard deviation | 14435.63488 |
|---|---|
| Coefficient of variation (CV) | 1.590921319 |
| Kurtosis | 40.78164889 |
| Mean | 9073.757895 |
| Median Absolute Deviation (MAD) | 2140 |
| Skewness | 5.544698286 |
| Sum | 3448028 |
| Variance | 208387554.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3404 | 2 | 0.5% |
| 5204 | 2 | 0.5% |
| 1376 | 2 | 0.5% |
| 3027 | 2 | 0.5% |
| 4211 | 2 | 0.5% |
| 4973 | 1 | 0.3% |
| 6888 | 1 | 0.3% |
| 4957 | 1 | 0.3% |
| 2126 | 1 | 0.3% |
| 2855 | 1 | 0.3% |
| Other values (365) | 365 |
| Value | Count | Frequency (%) |
| 416 | 1 | |
| 629 | 1 | |
| 693 | 1 | |
| 705 | 1 | |
| 724 | 1 | |
| 897 | 1 | |
| 1066 | 1 | |
| 1101 | 1 | |
| 1131 | 1 | |
| 1190 | 1 |
| Value | Count | Frequency (%) |
| 156961 | 1 | |
| 109089 | 1 | |
| 92489 | 1 | |
| 75432 | 1 | |
| 72388 | 1 | |
| 72042 | 1 | |
| 71898 | 1 | |
| 54995 | 1 | |
| 49291 | 1 | |
| 47693 | 1 |
| Distinct | 379 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 45226.97632 |
| Minimum | 1058 |
|---|---|
| Maximum | 3212500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 1058 |
|---|---|
| 5-th percentile | 4175.55 |
| Q1 | 12056 |
| median | 21120.5 |
| Q3 | 34742.5 |
| 95-th percentile | 113255.7 |
| Maximum | 3212500 |
| Range | 3211442 |
| Interquartile range (IQR) | 22686.5 |
Descriptive statistics
| Standard deviation | 175284.3482 |
|---|---|
| Coefficient of variation (CV) | 3.875659229 |
| Kurtosis | 283.6036436 |
| Mean | 45226.97632 |
| Median Absolute Deviation (MAD) | 11092 |
| Skewness | 15.93392508 |
| Sum | 17186251 |
| Variance | 3.072460271 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5757 | 2 | 0.5% |
| 12070 | 1 | 0.3% |
| 28133 | 1 | 0.3% |
| 29691 | 1 | 0.3% |
| 40666 | 1 | 0.3% |
| 59655 | 1 | 0.3% |
| 3732 | 1 | 0.3% |
| 6630 | 1 | 0.3% |
| 14775 | 1 | 0.3% |
| 9704 | 1 | 0.3% |
| Other values (369) | 369 |
| Value | Count | Frequency (%) |
| 1058 | 1 | |
| 1062 | 1 | |
| 1224 | 1 | |
| 1531 | 1 | |
| 1815 | 1 | |
| 1884 | 1 | |
| 2138 | 1 | |
| 2204 | 1 | |
| 2258 | 1 | |
| 2829 | 1 |
| Value | Count | Frequency (%) |
| 3212500 | 1 | |
| 696210 | 1 | |
| 573463 | 1 | |
| 401493 | 1 | |
| 373842 | 1 | |
| 326825 | 1 | |
| 300702 | 1 | |
| 297199 | 1 | |
| 260789 | 1 | |
| 208046 | 1 |
Average Household Size
Real number (ℝ≥0)
| Distinct | 143 |
|---|---|
| Distinct (%) | 37.7% |
| Missing | 1 |
| Missing (%) | 0.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.806965699 |
| Minimum | 2 |
|---|---|
| Maximum | 4.98 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2.24 |
| Q1 | 2.48 |
| median | 2.7 |
| Q3 | 3.04 |
| 95-th percentile | 3.673 |
| Maximum | 4.98 |
| Range | 2.98 |
| Interquartile range (IQR) | 0.56 |
Descriptive statistics
| Standard deviation | 0.46817616 |
|---|---|
| Coefficient of variation (CV) | 0.1667908376 |
| Kurtosis | 2.31726247 |
| Mean | 2.806965699 |
| Median Absolute Deviation (MAD) | 0.27 |
| Skewness | 1.286587442 |
| Sum | 1063.84 |
| Variance | 0.2191889168 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.72 | 9 | 2.4% |
| 2.73 | 8 | 2.1% |
| 2.85 | 8 | 2.1% |
| 2.64 | 7 | 1.8% |
| 3.13 | 6 | 1.6% |
| 2.52 | 6 | 1.6% |
| 2.78 | 6 | 1.6% |
| 2.45 | 6 | 1.6% |
| 2.97 | 6 | 1.6% |
| 2.59 | 6 | 1.6% |
| Other values (133) | 311 |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.3% |
| 2.06 | 1 | 0.3% |
| 2.08 | 2 | |
| 2.13 | 1 | 0.3% |
| 2.17 | 2 | |
| 2.18 | 2 | |
| 2.19 | 1 | 0.3% |
| 2.2 | 1 | 0.3% |
| 2.21 | 1 | 0.3% |
| 2.22 | 3 |
| Value | Count | Frequency (%) |
| 4.98 | 1 | |
| 4.78 | 1 | |
| 4.58 | 1 | |
| 4.57 | 1 | |
| 4.15 | 1 | |
| 4.08 | 2 | |
| 3.97 | 1 | |
| 3.93 | 1 | |
| 3.9 | 1 | |
| 3.89 | 1 |
| Distinct | 17 |
|---|---|
| Distinct (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| CA | |
|---|---|
| TX | |
| FL | |
| IL | |
| MI | |
| Other values (12) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 760 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | IL |
|---|---|
| 2nd row | VA |
| 3rd row | CO |
| 4th row | AZ |
| 5th row | TX |
Common Values
| Value | Count | Frequency (%) |
| CA | 114 | |
| TX | 48 | |
| FL | 41 | 10.8% |
| IL | 19 | 5.0% |
| MI | 15 | 3.9% |
| CO | 15 | 3.9% |
| AZ | 14 | 3.7% |
| WA | 14 | 3.7% |
| VA | 13 | 3.4% |
| MA | 13 | 3.4% |
| Other values (7) | 74 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ca | 114 | |
| tx | 48 | |
| fl | 41 | 10.8% |
| il | 19 | 5.0% |
| mi | 15 | 3.9% |
| co | 15 | 3.9% |
| az | 14 | 3.7% |
| wa | 14 | 3.7% |
| ma | 13 | 3.4% |
| va | 13 | 3.4% |
| Other values (7) | 74 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 168 | |
| C | 141 | |
| L | 60 | 7.9% |
| N | 54 | 7.1% |
| T | 48 | 6.3% |
| X | 48 | 6.3% |
| M | 48 | 6.3% |
| I | 44 | 5.8% |
| F | 41 | 5.4% |
| O | 25 | 3.3% |
| Other values (7) | 83 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 760 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 168 | |
| C | 141 | |
| L | 60 | 7.9% |
| N | 54 | 7.1% |
| T | 48 | 6.3% |
| X | 48 | 6.3% |
| M | 48 | 6.3% |
| I | 44 | 5.8% |
| F | 41 | 5.4% |
| O | 25 | 3.3% |
| Other values (7) | 83 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 760 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 168 | |
| C | 141 | |
| L | 60 | 7.9% |
| N | 54 | 7.1% |
| T | 48 | 6.3% |
| X | 48 | 6.3% |
| M | 48 | 6.3% |
| I | 44 | 5.8% |
| F | 41 | 5.4% |
| O | 25 | 3.3% |
| Other values (7) | 83 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 760 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 168 | |
| C | 141 | |
| L | 60 | 7.9% |
| N | 54 | 7.1% |
| T | 48 | 6.3% |
| X | 48 | 6.3% |
| M | 48 | 6.3% |
| I | 44 | 5.8% |
| F | 41 | 5.4% |
| O | 25 | 3.3% |
| Other values (7) | 83 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Unnamed: 0 | City | State | Median Age | Male Population | Female Population | Total Population | Number of Veterans | Foreign-born | Average Household Size | State Code | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Peoria | Illinois | 33.1 | 56229.0 | 62432.0 | 118661 | 6634.0 | 7517.0 | 2.40 | IL |
| 1 | 3 | Hampton | Virginia | 35.5 | 66214.0 | 70240.0 | 136454 | 19638.0 | 6204.0 | 2.48 | VA |
| 2 | 4 | Lakewood | Colorado | 37.7 | 76013.0 | 76576.0 | 152589 | 9988.0 | 14169.0 | 2.29 | CO |
| 3 | 5 | Mesa | Arizona | 36.9 | 234998.0 | 236835.0 | 471833 | 31808.0 | 57492.0 | 2.68 | AZ |
| 4 | 6 | Bryan | Texas | 29.4 | 41761.0 | 40345.0 | 82106 | 3602.0 | 12014.0 | 2.55 | TX |
| 5 | 7 | Garland | Texas | 34.5 | 116406.0 | 120430.0 | 236836 | 10407.0 | 62975.0 | 3.12 | TX |
| 6 | 8 | Springfield | Illinois | 38.8 | 55639.0 | 62170.0 | 117809 | 7525.0 | 4264.0 | 2.22 | IL |
| 7 | 9 | Flint | Michigan | 35.3 | 48984.0 | 49313.0 | 98297 | 3757.0 | 2138.0 | 2.38 | MI |
| 8 | 10 | Tacoma | Washington | 37.7 | 100914.0 | 107036.0 | 207950 | 19040.0 | 31863.0 | 2.48 | WA |
| 9 | 12 | Eagan | Minnesota | 36.8 | 31587.0 | 34701.0 | 66288 | 2699.0 | 8642.0 | 2.49 | MN |
Last rows
| Unnamed: 0 | City | State | Median Age | Male Population | Female Population | Total Population | Number of Veterans | Foreign-born | Average Household Size | State Code | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 370 | 1581 | Vancouver | Washington | 37.2 | 82958.0 | 89895.0 | 172853 | 12391.0 | 21748.0 | 2.49 | WA |
| 371 | 1604 | Minneapolis | Minnesota | 32.4 | 206547.0 | 204388.0 | 410935 | 15217.0 | 70769.0 | 2.26 | MN |
| 372 | 1609 | San Buenaventura | California | 37.7 | 53932.0 | 55785.0 | 109717 | 5980.0 | 18025.0 | 2.68 | CA |
| 373 | 1645 | Harlingen | Texas | 30.1 | 32404.0 | 33365.0 | 65769 | 2761.0 | 10391.0 | 3.00 | TX |
| 374 | 1651 | San Leandro | California | 41.8 | 43032.0 | 47679.0 | 90711 | 4111.0 | 34293.0 | 2.79 | CA |
| 375 | 1657 | Tyler | Texas | 33.9 | 50422.0 | 53283.0 | 103705 | 4813.0 | 8225.0 | 2.59 | TX |
| 376 | 1762 | Menifee | California | 37.1 | 42866.0 | 44297.0 | 87163 | 6821.0 | 12481.0 | 3.06 | CA |
| 377 | 1774 | Gainesville | Florida | 26.0 | 60803.0 | 69330.0 | 130133 | 4788.0 | 15272.0 | 2.33 | FL |
| 378 | 1931 | Bellflower | California | 33.4 | 38936.0 | 39498.0 | 78434 | 2154.0 | 24607.0 | 3.58 | CA |
| 379 | 1963 | Camden | New Jersey | 27.9 | 36437.0 | 39694.0 | 76131 | 1425.0 | 11317.0 | 3.00 | NJ |